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Three artificial intelligence data challenges based on CT and MRI

(2020) N. Lassau et al.   Diagnostic and Interventional Imaging

Comparison of breast density assessment between human eye and automated software on digital and synthetic mammography: Impact on breast cancer risk

(2020) M. Le Boulc’h et al.   Diagnostic and Interventional Imaging

A primer for understanding radiology articles about machine learning and deep learning

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Artificial intelligence solution to classify pulmonary nodules on CT

(2020) D. Blanc et al.   Diagnostic and Interventional Imaging

Artificial intelligence: from challenges to clinical implementation

(2020) G. Chassagnon et al.   Diagnostic and Interventional Imaging

Automatic knee meniscus tear detection and orientation classification with Mask-RCNN

(2019) V. Couteaux et al.   Diagnostic and Interventional Imaging

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI

(2019) N. Lassau et al.   Diagnostic and Interventional Imaging

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network

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Detection and classification the breast tumors using mask R-CNN on sonograms

(2019) Jui-Ying Chiao et al.   MEDICINE

Artificial intelligence and breast screening: French Radiology Community position paper

(2019) I. Thomassin-Naggara et al.   Diagnostic and Interventional Imaging

Women's imaging: What's new in 2019?

(2019) I. Thomassin-Naggara et al.   Diagnostic and Interventional Imaging

Mask R-CNN

(2018) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The impact of mammography screening programmes on incidence of advanced breast cancer in Europe: a literature review

(2018) M. J. M. Broeders et al.   BMC CANCER

Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

(2018) Michal Byra et al.   MEDICAL PHYSICS

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

BI-RADS ® fifth edition: A summary of changes

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Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset

(2016) Jun Shi et al.   NEUROCOMPUTING

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

(2016) Jie-Zhi Cheng et al.   Scientific Reports